Artificial Intelligent Neural Networks
6 pages (1500 words) , Download 2 , Assignment
...Artificial Intelligent Neural Networks In this paper, the history of artificial intelligence is considered. Specifically, the development of artificial intelligence in robotics has been considered. The application of these developments in the development of unmanned or driverless cars has also been made. Consideration of computer vision, Artificial Neural Networks (ANN) has also been considered. It was clear that these developments can be very useful in the development of an unmanned car, but still more needs to be done since an unmanned car would need...
Neural Networks
4 pages (1000 words) , Research Paper
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...NEURAL NETWORKS Neural Networks Affiliation This paper presents an overview of the Artificial Neural Networks (ANNs). This paper will outline the basic idea, some history and uses of ANN. Basically an artificial neural network is a collection of programs of data structures that is almost capable of the process of the human brain. In this scenario, a neural network encompasses a wide variety of processors that work collaboratively, each with its own small sphere of facts and makes use of...
Artificial neural network
2 pages (500 words) , Research Paper
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...NEURAL NETWORK TO SOLVING ENVIRONMENTAL PROBLEMS Application of Neural Network to Solving Environmental Problems Affiliation Date Introduction An artificial neural network (ANN) is a collection of data structures and programs that is nearly equal to the process of the human brain. A neural network generally includes a wide range of processors working in a parallel manner, each with its own small sphere of facts and uses the data in its local memory. Additionally, an artificial neural network can be viewed as a computer arrangement that is developed through numerous straightforward and highly unified processing constituents that manage information through their dynamic state reaction... ?APPLICATION OF...
Neural Networks for handwriting recognition
16 pages (4000 words) , Essay
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...NEURAL NETWORKS FOR HANDWRITING RECOGNITION Table of Contents Artificial Neural Networks (ANNs) 6 Neural Network Recognizer 7 Recurrent Neural Networks  7 Long Short-Term Memory (LSTM) 8 Bidirectional Recurrent Neural Networks 9 Connectionist Temporal Classification (CTC) 9 Training the Individual Nets 10 ANNs for Handwriting Recognition 12 Types of ANN for Handwriting Recognition 13 Methods for ANN Based Handwriting Recognition 14 Bidirectional Long Short-Term Memory 14 Integration with an External...
Neural Network
6 pages (1500 words) , Essay
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...artificial neurons' loosely modeled on simple properties of biological neurons, usually with some adaptive capability to change the strengths of connections between the neurons. In general a biological neural network is composed of a group or groups of chemically connected or functionally associated neurons. A single neuron may be connected to many other neurons and the total number of neurons and connections in a network may be extensive. These connections are called synapses, are usually formed from axons to dendrites, though dendrodendritic microcircuits and other connections are possible. Apart from the electrical signaling, there are other forms of signaling... NEURAL NETWORK Introduction Neural...
Intelligent systems - neural networks
13 pages (3250 words) , Essay
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...artificial intelligent systems such as rule based and neural networks need to be trained while being supervised, this perhaps guidance in setting up the rules in a rule based system or sample data in neural networks. Human brains have the ability to learn unsupervised and without guidance, making them very capable. In addition Brains are able to accept ambiguity, to learn on the basis of very... Creating A Neural Network Using EasyNN-Plus A Neural Network is defined as an interconnected assembly of simple processing elements, units or nodes, whose functionality is loosely based on the animal brain. The processing ability of the network is stored in the inter-unit connection strengths, or weights,...
Clinical Decision Support System (CDSS)
2 pages (500 words) , Essay
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...artificial neural networks or both. The computing... Clinical Decision Support System (CDSS) Clinical Decision Support System (CDSS) DSS (Decision Support System) is "an interactive, flexible, and adaptable computer-based information system, especially developed for supporting the solution of a non-structured management problem for improved decision making (Turban E, 1995). Decision support systems vary greatly in their complexity, function and application. The key application of DSS in health care and clinical practice is to support clinical diagnosis and treatment plan processes. The medical procedure is a sort of decision network diagnosis, prognosis, the therapeutic and the treatment follow-up. These ...
Artificial Intelligence techniques used in autonomous car
5 pages (1250 words) , Download 2 , Research Paper
...Artificial Neural Networks According to (Stergiou and Siganos), an artificial neural network is a data processing model that is inspired by the method of biological nervous systems information processing. Neural Network is also a renowned and heavily researched area of the AI. Stergiou... ID # Artificial Intelligence techniques used in Autonomous cars Artificial intelligence (AI) has emerged to be the future in the field of information technology. This paradigm of the science is proposed to develop artificial intelligence into machines and thus automating their actions. In addition, an important mission of artificial intelligence paradigm is to create human like intelligence in machine to reinstate and...
Neural Networks
2 pages (500 words) , Movie Review
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...Neural Networks The movie, exmachina explores the use of robots to perform tasks that seem to be beyond the human’s capabilities. This is achieved through ‘teaching’ the robot in a form of machine learning and implementing the cognitive abilities of humans into the robot but with the high levels inventory of course. The robots are therefore made adaptive as much as possible so that they can accept varied inputs and learn faster with ease since they develop higher recognition levels for patterns, sounds or even light intensities. With neural networks the robot are able to check their payload; the load capacity they can contain in any operation and there be able to know the maximum load beyond... ...
Artificial Intelligence and Expert Systems
11 pages (2750 words) , Dissertation
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...artificial intelligence (AI) and telecommunications. During that time, the major utilization related to the artificial intelligence (AI) in telecommunications was considered as the initial system that is designed for diagnosing complex equipment in all off-line modes. Currently, the DSS are integrated with artificial neural networks. The ANN is defined as “a computing system made up of a number of simple, highly interconnected processing elements, which process information by their dynamic state response to external inputs.”(Neural Network. 2007). Due... ?Contents 2 2 Introduction 2 3 Overview of Techniques in Artificial Intelligence (AI) 7 4 Research Methodology 9 5 Results 12 After the through...
Connectionist model
2 pages (500 words) , Assignment
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...Network Model Connectionist network model is a drive in cognitive science that tries to explain abilities using mock neural networks. Neural systems are made up of large number of units in addition with weights that measure the strengths of connections between the units. Alternatively, connectionism can be defined as a set of varying approaches in the fields of cognitive psychology, artificial intelligence, neural science, and philosophy of the mind that models mental or behavioral phenomena as the emergent process of interconnected networks of simple units. This model is sometimes known as Parallel Distributed Processing (PDP) models of networks. Additionally they are referred... to as...
Knowledge Management
4 pages (1000 words) , Assignment
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...artificial neural networks in that these systems are able to learn and create their own knowledge thus making is possible for the systems to create knowledge. These systems are also able to tolerate faults which lead to more stable systems which are able to reduce inconsistencies. However, there are various disadvantages... Knowledge Management One of the main challenges with the expert system is their inability to make decisions which are based on situations which are have not been in existence before. Even the most advanced modern artificial intelligence software are unable to make dynamic decisions and are therefore not able to make dynamic decisions in spontaneous situations. These systems are only...
Credit scoring model
20 pages (5000 words) , Coursework
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...artificial neural networks. Normally, linear discriminant analysis, logistic regression, and artificial neural networks are utilized in construction of credit scoring models. LDA is amongst the earliest forms of credit scoring model and enjoy widespread usage... ? Credit scoring model Executive summary As times change, use of credit scoring model has become a centrally important issue. This is mainly attributed to the increased number of competitors as well as the many cases of bad debt that have often arisen from transactions. Consequently, credit scoring models have been subjected to extensive research and studies more so in statistic. This has mainly been aimed at improving their accuracy in dealing...
EEG data preprocessing, prediction, feature extraction/selection and classification
5 pages (1250 words) , Dissertation
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...Artificial neural networks was developed (Guo et al, 2009, pp 178). This technique has been shown to improve the assessment of the brain signals better, by identifying complex patterns and classifying different waves with ease (Guo et al, 2009, pp 178). The system uses a variety of algorithms, the most notable of which is the back propagation algorithm. This system ensures the removal of errors from the data and helps in creating a clear idea of the changes taking place in the EEG (Guo et al, 2009, pp 178). Feature... ? RECENT PRACTICES IN EEG: CURRENT TRENDS AND RESEARCHES By Presented to [department [college EEG remainsone of the most innovative technologies to understand the working of the brain...
Share Price Prediction and Analysis
6 pages (1500 words) , Download 1 , Essay
...Artificial Neural Networks (ANN), extended Kalman filter data fusion, decision tree (DT) model, and Residual Income Model (RIM) amongst others. Different valuation models have also been used to estimate and predict the share prices of different companies... ? Share Price Prediction and Analysis Introduction Share valuation is the process of calculated the actual value of a given company through the use of its shares. Share valuation helps investors understand not only the performance of a given organization but also make appropriate decisions in as far as investment is concerned (Chen, et al., 2003). Predicting and analyzing share prices of various organization have ignited a lot of interest especially...
The Future of Artificial Intelligence
85 pages (21250 words) , Download 1 , Essay
...Artificial Intelligence The Future of Artificial Intelligence Corey Welly Kennedy-Western The Future ofArtificial Intelligence A Final Project Presented to the Faculty of the School of Computer Science Kennedy-Western University In Partial Fulfillment Of the Requirements for the Degree of Bachelors in Computer Science Corey Welly Lewis Center, Ohio Abstract The emerging technology and programming techniques related to Artificial Intelligence has continued to advance and provide new data in the quest to building a viable and working artificially intelligent machine. Through the introduction of viable neural networking solutions, this has made the possibilities even... Running Head: The Future of...
Probing into Internet Culture as New Media
4 pages (1000 words) , Essay
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...network of communicating cells. Some of the meaningless signals are called noisy neurons. As neurons form a network, memories also increase. But the brain cannot hold more than 500 memories. Once the number crosses 500, the neurons will devour all of them. (Brain's Capacity Limited by Connectivity Issues, 2007). Our detailed research shows how artificial neural networks or the system of computation have more... Probing into Internet Culture as 'New Media A study Introduction Man has seen a transition from dialogue to writing to modern day technology. Civilization has marched on from dialogue to essay to webpage. (Bolter, 104). Our contention is that how far this new technology or 'New Media', as...
INVESTIGATION OF PROCESS PARAMETER OPTIMIZATION OF HIGH SPEED CNC MILLING FOR COMPOSITE MATERIALS USING COMBINED GENETIC ALGORITHAM AND ARTIFICALNEURALNETWORK".
8 pages (2000 words) , Research Paper
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...artificial neural networks and genetic algorithms. The parameters are optimised for improved surface finish and higher material removal rate. (2) Introduction: High speed CNC milling process needs to balance between productivity and quality of the end product. While quality is measured in terms of surface finish, the productivity is measured in terms of material removal rate. Good machinable materials acquire a smooth finish as they can be easily cut with less power. They also cause minimum damage to the tool. If the material has improved material properties then it’s machinablity becomes difficult. Hence improving machinability... INVESTIGATION OF PROCESS PARAMETER OPTIMIZATION OF HIGH SPEED CNC...
Chemistry central journal
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...Artificial Neural Networks (ANNs) models were used on existing datasets of ORN responses, then a new set of chemicals were tested on the same datasets. A prediction was made successfully five out of seven times (Schmuker, de Bruyne, Hähnel, and Schneider, 2007) on an odorant’s activity. Presently... This paper will be a critique of “Predicting olfactory receptor neuron responses from odorant structure”. This particular aspect of neurobiology is concerned with predicting Olfactory Receptor Neurons’ (ORNs) responses from molecular structure and the description of Structure-Activity Relationships (SARs) between odorant and activated receptor. In order for the researchers to complete these two goals,...
Investigation of Process Parameter Optimization of High Speed CNC Milling for Composite Materials using Combined Genetic Algorit
7 pages (1750 words) , Research Paper
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...artificial neural networks and genetic algorithms. The parameters are optimised for improved surface finish and higher material removal rate. (2) Introduction: High speed CNC milling process needs to balance between productivity and quality of the end product. While quality is measured in terms of surface finish, the productivity is measured in terms of material removal rate. Good machinable materials acquire a smooth finish as they can be easily cut with less power. They also cause minimum damage to the tool. If the material has improved material properties then it’s machinablity becomes difficult. Hence improving machinability... ?INVESTIGATION OF PROCESS PARAMETER OPTIMIZATION OF HIGH SPEED CNC...
Artifical Intelligence
5 pages (1250 words) , Term Paper
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...Artificial Neural Networks According to (Stergiou & Siganos, 2010), “an artificial neural network is a data processing model that is inspired by the method of biological nervous systems information processing.” Neural Network is also a renowned and heavily researched area of the AI. Stergiou & Siganos (2010) described that in the neural network field the working of human neuron is copied into the computer based... ARTIFICIAL INTELLIGENCE TECHNIQUES USED IN AUTONOMOUS CARS Artificial Intelligence techniques used in Autonomous cars Affiliation Introduction Artificial intelligence (AI) has emerged to be the future in the field of information technology. Basically, “it is a science of making intelligent mach...
Data Analytics and Understanding Big Data
6 pages (1500 words) , Literature review
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...artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems’, Neural Computing and Applications, vol. 19, no. 8, pp. 1165-1195. This article deals with the use of artificial intelligence tools in financial settings. The main purpose of the article is to establish the role of artificial intelligence tools in making true financial decisions. Portfolio management, credit evaluation, and financial prediction and planning are those three domains of a financial market that need a proper and careful analysis in order...
Microbial physiology and culture (Practical Oxygen Transfer in a Stirred Tank Reactor)
6 pages (1500 words) , Essay
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...artificial neural networks. Enzyme Microb Technol..... ?Oxygen Transfer in a Stirred Tank Reactor By Presented to June 2, Oxygen Transfer in a Stirred Tank Reactor Summary This experiment is aimed at studying oxygen transfer from air into water in a stirred tank reactor and also to determine the mass transfer coefficient, KLa and the exponents x and y. To determine KLa, two methods can be used; these are fermentative and non – fermentative (Ochoa, 2001). In non – fermentative method also known as dynamic gassing out, the concentration of oxygen is lowered by gassing the liquid out using nitrogen gas resulting in the initiation of at constant air flow rate at the same time increasing dissolved oxygen...
Inventory Management
3 pages (750 words) , Annotated Bibliography
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...artificial neural networks among other concepts, the book provides useful theoretical and practical information. Wright, D., & Slaybaugh, C. (2013). Inventory management. Wellington, N.Z.: Cost and Management Accounting Division, New Zealand Society of Accountants. This text touches on the definition of inventory management, as well as the importance of inventory in businesses. Additionally, it discusses the problems that emanate due to poor planning on the inventory.... Running head: INVENTORY MANAGEMENT 10th June References Andreasen, K., Melzer, T., George, L., Lüthi, L., Rijn, I., & Stokhof, M. (2013). Inventory. Haarlem: Johan Deumens Gallery. This book provides adequate information on the importa...
Turing test
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...artificial neural networks. c)Embodied AI The study of human intelligence with respect to the representation of the human body. The argument suggests that the thoughts, ideas, concepts and categories all pertain to different parts of the human body. 3) What are the differences of John Searle’s account of: a)Strong AI b)Weak AI a)Strong AI: Demonstrates the concept that the machine running a program is actually a mind itself. It emphasizes that there is no difference between a human brain... ? of the of the of the Turing Test, Chinese Room Argument, Searle’s Account of AI and GPS Provide an account of Turing Test and its strengths and weakness. ACCOUNT OF THE TURING TEST AND ITS STRENGTHS AND WEAKNESSES...
Decision Support System (DSS)
7 pages (1750 words) , Research Paper
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...artificial neural networks. The ANN is defined as “a computing system made up of a number of simple, highly interconnected processing elements, which process information by their dynamic state response to external inputs.” (A basic introduction to neural networks, n.d). Due to the integration of ANN in the clinical based DSS, the results were significantly better as the system was able to do multi tasking i.e. can... ? Full Paper Decision Support System Decision support systems abbreviated as DSS, were invented in 1970s. The primary function of a DSS is to facilitate management with informed decisions. However, the systems are not capable to take decisions themselves, it provides adequate information to...
Personality in Computer Games
4 pages (1000 words) , Article
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...artificial intelligence and applying artificial neural networks in these characters, the TCD Game AI Project at the Trinity College to capture and add personalities, moods and relationships. (Namee & Cunningham, 2003) The '-SIC' system is designed specifically for the development of non-player characters uses personality, mood and relationship models. A personality model uses the Eysenck's... Personality in Computer Games Computer games have gained enormous popularity in spite of many dedicated gaming machines like Play Station, Xbox, Nintendo and the WII. This popularity has amassed over several decades of creative game development and adding extra features that attract the PC users that force them to...
Neural System Development
3 pages (750 words) , Essay
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...neural development are increasing. The above models are study focused by the paper written by Cangolosi, Nolfi, Parisi. Above models are only some of the studies done by several researchers. Reference: Cangelosi, Nolfi, Parisi, Artificial Life Models of Neural Development http://www.tech.plym.ac.uk/soc/staff/angelo/papers/cangelosi-in-bentley.pdf Kitano H. (1990). Designing neural networks using genetic algorithms with graph generation system. Complex Systems, 4:461-476. Hill, M 2008, Neural System Development http://embryology.med.unsw.edu.au/Notes/neuron.htm0... . The complete individual that is formed according to the instructions specified in the genotype is the phenotype. One of...
Medical Equipments Acquisition
5 pages (1250 words) , Essay
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...artificial neural networks are applied for the acquisition of medical equipments due to the absence of professionals. This network helps in decision-making process as it measures... the functional and pattern approximation of equipments. Through this model, the physical risk, cost, and importance of particular equipment are calculated. Later, the results are re-calculated by the clinical engineers. The engineers consider five main factors in the acquisition of useful and required equipments that include: clinical, technical, safety, financial and quality. The neural network model is 85% reliable in acquisition of equipments (Magjarevic, 3786) The method of...
Expert systems
9 pages (2250 words) , Essay
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...artificial neural networks. The ANN is defined as “a computing system made up of a number of simple, highly interconnected processing elements, which process information by their dynamic state response to external inputs.” (Filo, Lotan 2010). Due to the integration of ANN in the clinical based DSS, the results were significantly better as the system was able to do multi tasking i.e. can process multiple instructions related to demographic information, patient registration information, patient medical history, invent prescriptions and diagnose patients. Moreover, the state of the art systems are able to calculate the likeliness of a potential disease... ? Full Paper Expert System Decision Support System...
Knowledge Management
4 pages (1000 words) , Assignment
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...Artificial neural Networks technology; Retrieved from; < http://andrei.clubcisco.ro/cursuri/f/f-sym/5master/aac-nnga/AI_neural_nets.pdf > Bonabeau E. (2009). The power of collective intelligence. Retrieved from; < http://sloanreview.mit.edu/article/decisions-20-the-power-of-collective-intelligence/> Maher M. (1986). Problem solving using expert system techniques; Retrieved from; Szakwani (2007). Expert System and Knowledge Based Systems. Retrieved from; < http://www.omandev.net/2007/07/expert-system-and-knowledge-based-systems/ >... systems are known to minimize on running costs when used. This is because few humans will be needed where many solutions can be provided by a simple and easy...
Speaker of the House
3 pages (750 words) , Download 0 , Essay
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...artificial neural networks. New York: Springer.... Speech by Speaker of the House on the Current of the U.S. Macro Economy to Amateur Reporters Ladies and gentlemen, thank you for coming for this important meeting. In a short time, I will discuss the Current State of the U.S. macro economy. In my discussion, I will focus on the performance of the US economy, its relationship with the rest of the world through international trade as well as foreign exchange rates. A country could have a trade surplus or a trade deficit. While a trade surplus means that a country’s total exports exceed its imports, a trade deficit means that a country’s total imports exceed the exports. Excessive imports have adverse...
Inividual 4
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...Artificial Neural Networks. New York: Springer, 2007. Print. Oberlechner, Thomas. The Psychology of the Foreign Exchange Market. Chichester: John Wiley & Sons, 2005. Internet resource.... Introduction Today, we are living in the world of globalization where national economies have continued to become integrated in many ways. As such, the exchange rate has become the relative price in the open economies. It has thus become an important point of consideration when making major investment. The ability to be able to predict the performance of different currencies is a one of the secret of success in the forex market. One of the way information of the future performance of exchange rates is thought studying...
Artificial Intellengence
1 pages (250 words) , Research Paper
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...artificial intelligence. In modern times the term was introduced by John McCarthy in the year 1956. Artificial intelligence can be distinguished into various branches that include Perceptive system, vision system, robotics and expert system and neural networks in prime. The A.I equipped machines find large number of uses in modern day, and a prime example can be quoted from the fire fighter machines that are built for purpose of going into the fire blazed buildings and rescuing many lives. In manufacturing industry, A.I finds its use... Introduction to Computer Literacy-INF 103 Jacqueline Minor Victoria L. Holland 01 of Research Paper: Artificial Intelligence Since inception mankind has aimed at...
Condition monitoring, fault diagnosis, fault classification or fiding fault for machenary
25 pages (6250 words) , Dissertation
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...artificial intelligence to condition monitoring and fault diagnosis consists in large part of neural networks (NN) and support vector machines (SVM). The application of these techniques would allow for both pattern recognition as well as automated fault diagnosis. A number of different researches have been carried out in order to deal with condition monitoring and fault diagnosis of plant machinery that relies on discriminating fault types from a common pool of fault types based on the available vibration data. Theoretically, such an approach may make a lot of sense but practical application of such techniques is hindered by ambiguous diagnosis problems... ?CHAPTER SIX Condition Monitoring and Fault...
Business inteligence
8 pages (2000 words) , Essay
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...artificial neural networks in the analysis of data is important for obtaining knowledge from the data collected. Neural networks are based on the way that the biological nervous system works. Highly interconnected elements of information work together like the way neurons work in the nervous system in tandem to solve a problem. Artificial neural networks learn by example. This is attained by a learning process that recognizes a specific pattern or data... ? Business Intelligence Part At the time being, the Cardiff and company run more than nine websites. Most of these are designed purposely for marketing the vast opportunities that Cardiff presents for investors, the locals and visitors. The range of...
Science Fiction, Technology, and Our Modern World
4 pages (1000 words) , Essay
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...artificial neural networks. These will enable computers to process sensory information such as vision just like animals. If an AI can simulate the entire human brain, then will it be a virtual human? Not quite. A computer alone would have a wide range of emotions far limited that it would not be able to interact with its environment. The more the sensory feedback a machine can receive, the wider the range of feelings... Science Fiction, Technology, and Our Modern World Science Fiction, Technology, and Our Modern World Essay 3 Q1. The Chinese thought experiment was designed by John Searle to challenge the possibility claim that computers can run a program that have mind and consciousness in the same sense ...
Self Organizing Maps (SOM)
11 pages (2750 words) , Research Paper
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...artificial neural networks that use unsupervised learning in production of low-dimensional... and discretized output space referred to as maps (Arribas-Bel et al 2013, p. 248). The artificial neural networks (ANNs) have been used for many years in modeling information processing systems inspired by the biological neural structures. The performance of ANNs is better than that of traditional methods of problem solving. This enhances a comprehensive understanding of the human cognitive abilities. From the available learning algorithms and neural network architectures, the SOM forms the most...
Traditional & Wireless IDS/IPS Techniques
5 pages (1250 words) , Research Paper
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...artificial neural networks, immune systems and genetic algorithms. Among all of these, statistical methods are more commonly used for detecting intrusions by finding out any anomaly that has initiated within the network (Ayd?n, Zaim, & Ceylan, 2009). By combining these two types of IDS, network administrators... ? Full Paper IDS/IPS Techniques Security in terms of computer networks has marked its significance. Senior management address security issues to an optimal level and enforces strict security procedures in order to protect strategic and financial assets. Previously, firewall and other related monitoring tools were not sufficient to cater the needs for efficient security architecture. Likewise, new ...
Autonomous intelligent agent topic tracking system
46 pages (11500 words) , Dissertation
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...Artificial Neural Networks Generally, a neural network can be described as a mathematical model of the biological neural systems (Turchetti, 2004). Within the context of an AI framework, neural networks can be defined as, “A basic component of any system that is intended to exhibit learning and autonomous behavior in a complex environment. Their primary... ?Running Head: Autonomous Intelligent Agent Topic Tracking System Autonomous Intelligent Agent Topic Tracking System The boolean operations like AND, OR, NOT and other search techniques such as keyword based searching, concept based searching etc. It explains the technicalities of the boolean operations and other search operations such as keyword based ...
Logistic regression classifier for the churn Data
12 pages (3000 words) , Coursework
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...artificial neural networks can be used in tracing the fraud detection system. First of all the Fraudsters are classified as Internal fraudster which includes Manager, Employee. Then, next comes the external fraudster which comprises of criminal, group of organized community doing fraud activities, average persons who are interested in tracing the accounts of an opponent. Here in each level coding is given as 1 for internal employee 2 for external or outsider and within employee 1 is coded for manager and 2 is coded for other staff, in externals 1 is given for criminals, 2 is given for organized... ?Question For the churn data the package used for analysis is SPSS because it is more versatile and...
Data Mining
5 pages (1250 words) , Research Paper
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...artificial neural networks and genetic algorithm. The former tool is a non-linear predictive model that resembles biological networks, in structure (Han et al. 2011). They are of two types: (1) decision tree, which generate rules for the classification of a data base, and rule induction... ? Data Mining Introduction Data mining, also known as knowledge discovery, is the process of extracting and analyzing data from different sources and summarizing it into helpful information. This information can be useful in increasing revenue, cutting cost of production, or both. Data mining software is a computer aided process of extracting and analyzing hidden predictive information from a large set of data...
Data Mining
5 pages (1250 words) , Research Paper
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...artificial neural networks and genetic algorithm. The former tool is a non-linear predictive model that resembles biological networks, in structure (Han et al. 2011). They are of two types: (1) decision tree, which generate rules for the classification of a data base, and rule... Data Mining Introduction Data mining, also known as knowledge discovery, is the process of extracting and analyzing data from different sources and summarizing it into helpful information. This information can be useful in increasing revenue, cutting cost of production, or both. Data mining software is a computer aided process of extracting and analyzing hidden predictive information from a large set of data (Hoptroff &...
Saving Chinese gaming addicts
5 pages (1250 words) , Essay
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...Artificial Neural Networks - ICANN 2006: 16th International Conference, Athens, Greece, September 10-14, 2006, Proceedings. Heidelberg: Springer... 29 March Saving Chinese Gaming addicts The advancement in technology has led to the development oftechnological games that tend to be addictive just like drugs are. In the recent times, the trend has been that these games are not played manually at home. The internet, with its vast and ever increasing modifications has provided an online platform from where gamers can compete with other gamers globally. The result has been an increase in addiction in gaming. It is said that statistics do not lie. In this case, the news are filled with stories of gamers here...
Marketing
5 pages (1250 words) , Essay
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...Artificial Neural Networks and the Membership Clustering Criterion: Springer Netherlands. Francisco J Sarabia (1996): Model for Market Segments Evaluation and Selection: European Journal of Marketing: MCB UP Ltd. McDonald, Malcolm and Dunbar, Ian (2004): Market Segmentation: How To Do It, How To Profit From It. Butterworth-Heinemann, 2004. McKenna, R (1988): Marketing in The Age of Diversity, Harvard Business Review, volume number 66. Pine, J (1993): Mass Customizing Products and Services, Planning Review, volume 22.... 1. Segmentation Theory 1 What is segmentation? By definition, a market segment is a group of people with the same characteristics in the market. Other terms that are used in place of...
Advanced Database
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...artificial neural networks; these are predicative models. Other types of data mining technologies include, the use of genetic algorithms, decision trees, and rule induction and nearest neighbor (Alexander, n.d). These data mining tools are very important in the process of data retrieval and use for decision making in an organization. These tools are significant for their input in analyzing historical data and using the same... Data Warehousing and Big Data With the data explosion in the recent years, the information and technology sector continues to confront the issue of management of big data. Big data refers to data that has a loose structure and has a distributed aggregation. In most cases, the data...
Vibration monitoring of Gas Turbine in oil industry
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...artificial neural networks, Proceedings of IGTI/ASME Turbo Expo 2009, 11p., Florida, USA, June 8... Vibration monitoring of Gas Turbine in oil industry Introduction This report makes a comprehensive examination of the vibration monitoring of gas turbines in the oil industry taking a critical review of the available literature. It is expected that at the end of this review, we should be in a position to identify the existing gaps that may require further research Objective The main aim of this study is to prevent damage and increase life cycle, and decrease maintenance cost of gas turbines in the oil field. Discussion The vibration of gas turbines can be monitored using a number of suitable parameters wh...
Decision Support Systems in Medicine
12 pages (3000 words) , Research Paper
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...Artificial Neural Networks and Genetic Algorithms. Neural Networks Artificial Neural Networks are composed of nodes and the interconnections among them. These connections are weighted. The weights are used to assess the extent of associations between the diagnosis made and the symptoms in the light of the given data. Some readability and accountability reasons inhibit the use of this type of systems. Genetic Algorithms Direct selection mechanism s used when implementing Genetic Algorithms. This ends up in achieving optimal results in Clinical Decision Support Systems. The solutions once provided by the algorithm... ? Decision Support Systems in Medicine Submitted to, Submitted By, of the Submitted on,...
Combining Anomaly and Signature based Intrusion Detection Systems to offer superior detection.
8 pages (2000 words) , Essay
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...artificial neural networks, immune systems and genetic algorithms. Among all of these, statistical methods are more commonly used for detecting intrusions by finding out any anomaly that has initiated within the network (Aydin, Zaim et al. 2009). V. Improved self adaptive bayesian algorithm A vast amount of research is in progress related to Incident detection as various intelligence-learning algorithms are deployed for the construction of massive complex and dynamic datasets in order to improve IDS. However, researches and various studies have improved the process of Intrusion detection, still some challenges needs to be...
The Visual System in the Blind: A Refined Sensation of Sound and Touch
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...Neural Engineering, 2(1), 22. doi:10.1088/1741-2560/2/1/004 Dobelle, M. (2000). Artificial Vision for the Blind by Connecting a Television Camera to the Visual Cortex. American Society for Artificial Internal Organs, 49(1), 3-9. Gonzales-Mora, J. (1999). Development of a new space perception system for blind people, based on the creation of a virtual acoustic space. Engineering Applications of Bio- inspired Artificial Neural Networks, 1607, 321-330. doi: 10.1007/BFb0100499 Leclerc, et al. (2000). Brain functional reorganization in early blind humans revealed by auditory event-related potentials. Neuroreport: Auditory and Vestibular System, 11(3), 545-550... ? The Visual System in the Blind: A Refined...
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